Note: Intro -- Committees -- Chief Patron -- Patrons -- Finance Chair -- General Chair -- International Advisory Committee -- Program Chair -- Program Committee -- Organizing Chair -- Organizing Co-chair -- Conference Coordinator -- Convener -- Co-convenor -- Technical Program Committee Chairs -- Preface -- Contents -- About the Editors -- Part I Cloud Computing, Image Processing, and Software -- 1 An Intelligent Online Attendance Tracking System Through Facial Recognition Technique Using Edge Computing -- 1.1 Introduction -- 1.1.1 Motivation and Contribution -- 1.1.2 Organization of the Paper -- 1.2 Related Works -- 1.2.1 In the Year 2017 -- 1.2.2 In the Year 2018 -- 1.2.3 In the Year 2019 -- 1.2.4 In the Year 2020 -- 1.3 Significance of Edge Computing for Online Attendance Tracking System -- 1.4 Methodology -- 1.4.1 Student Registration -- 1.4.2 Faculty Registration -- 1.4.3 Image Capture -- 1.4.4 Face Detection -- 1.4.5 Extraction of Face Encodings -- 1.4.6 Face Recognition -- 1.4.7 Attendance Updation -- 1.5 Practical Implementation -- 1.6 Results and Discussion -- 1.7 Conclusion and Future Work -- References -- 2 Cloud Analytics: An Outline of Tools and Practices -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Exploring the Ideology in Cloud-Based Analytics -- 2.4 Cloud Analytics Platforms -- 2.4.1 Qlik Sense Enterprise -- 2.4.2 Tableau -- 2.4.3 IBM Watson Analytics -- 2.4.4 Microsoft Power BI -- 2.4.5 TIBCO Spotfire X -- 2.4.6 SAS Business Analytics -- 2.5 Discussions -- 2.5.1 Benefits to Cloud-Based Analytics -- 2.5.2 Overview of Emerging Trends -- 2.6 Conclusion -- References -- 3 An Enhanced Fault-Tolerant Load Balancing Process for a Distributed System -- 3.1 Introduction -- 3.2 Background -- 3.2.1 Related Work -- 3.3 Proposed Enhanced Load Balancing Scheme with Resource Failure Rate Consideration -- 3.4 Simulated Results -- 3.4.1 Results. , 3.5 Conclusion -- References -- 4 HeartFog: Fog Computing Enabled Ensemble Deep Learning Framework for Automatic Heart Disease Diagnosis -- 4.1 Introduction -- 4.2 Related Works -- 4.3 HeartFog Architecture -- 4.3.1 Technology Used -- 4.3.2 Hardware Components Used -- 4.3.3 Software Components Used -- 4.4 HeartFog Design -- 4.4.1 Dataset -- 4.4.2 Heart Patient Data Pre-processing -- 4.4.3 Ensemble DL Application -- 4.4.4 Android Interface and Communication -- 4.4.5 Experimental Set-Up -- 4.4.6 Implementation -- 4.5 Results and a Discussion -- 4.6 Conclusion and Future Scope -- References -- 5 A Cloud Native SOS Alert System Model Using Distributed Data Grid and Distributed Messaging Platform -- 5.1 Introduction -- 5.2 Related Work -- 5.3 Preliminaries -- 5.3.1 ZooKeeper as Cluster Coordinator -- 5.3.2 Kafka as a Data Streaming Platform -- 5.3.3 Ignite as the In-Memory Data Grid -- 5.4 Proposed Architecture -- 5.5 Implementation -- 5.6 Conclusion -- References -- 6 Efficient Peer-to-Peer Content Dispersal by Spontaneously Newly Combined Fingerprints -- 6.1 Introduction -- 6.2 Literature Review -- 6.3 Proposed Work -- 6.3.1 Overview -- 6.3.2 Framework Architecture -- 6.3.3 Content Uploading and Splitting -- 6.3.4 Fingerprint Detection -- 6.3.5 Content Distribution -- 6.3.6 Anonymous Communication Protocol -- 6.3.7 Identification of Illegal Distribution -- 6.4 Experimental Results -- 6.4.1 Content Uploading and Splitting -- 6.4.2 Fingerprint Generation -- 6.4.3 Content Distribution -- 6.4.4 Identifying and Preventing Illegal Redistribution -- 6.5 Conclusion -- References -- 7 An Integrated Facemask Detection with Face Recognition and Alert System Using MobileNetV2 -- 7.1 Introduction -- 7.2 Related Works -- 7.3 Methodology -- 7.3.1 Facemask Detection Model -- 7.3.2 The Face-Recognition Model -- 7.3.3 Database -- 7.3.4 Web Application -- 7.4 Results. , 7.5 Conclusion -- References -- 8 Test Case Generation Using Metamorphic Relationship -- 8.1 Introduction -- 8.2 Usability of Successful Test Cases -- 8.3 The Formalization and Insight of Metamorphic Testing -- 8.4 Conclusion -- References -- Part II IoT/Network -- 9 IRHMP: IoT-Based Remote Health Monitoring and Prescriber System -- 9.1 Introduction -- 9.2 Previous Work -- 9.2.1 Architecture -- 9.2.2 Communication Protocol -- 9.3 IRHMP-IoT-Based Remote Health Monitoring and Prescriber System -- 9.3.1 Architecture -- 9.3.2 Functionalities Doctor -- 9.3.3 Implementation Working -- 9.4 Conclusion -- References -- 10 On Boundary-Effects at Cellular Automata-Based Road-Traffic Model Towards Uses in Smart City -- 10.1 Introduction -- 10.2 Review of the State-of-the-Art Available Works -- 10.3 Proposed Empirical Investigation -- 10.3.1 Search for More ECA Rules Toward Uses in Road-Traffic Simulation -- 10.3.2 Investigations on ECA Dynamics Toward Road-Traffic Simulation at Various Fixed-Boundary Situations -- 10.4 Detailed Discussions -- 10.5 Conclusive Remarks -- References -- 11 An Optimized Planning Model for Management of Distributed Microgrid Systems -- 11.1 Introduction -- 11.1.1 Components of a Micro Grid -- 11.1.2 Type of Micro Grid -- 11.2 Literature Survey -- 11.3 Proposed Model -- 11.3.1 Methodology -- 11.4 Results and Discussion -- 11.4.1 For PV System -- 11.4.2 For Wind System -- 11.4.3 For Fuel Cells Power Generating Systems -- 11.5 Conclusions -- References -- 12 Hard and Soft Fault Detection Using Cloud Based VANET -- 12.1 Introduction -- 12.2 Literature Study -- 12.3 Proposed Approach -- 12.3.1 Hard Permanent Fault Detection -- 12.3.2 Soft Fault Diagnosis -- 12.3.3 Fault Status Transmission Through Vehicular Cloud -- 12.4 Simulation Experiments and Discussions -- 12.5 Conclusion -- References. , 13 A Novel Intelligent Street Light Control System Using IoT -- 13.1 Introduction -- 13.2 Related Works -- 13.3 State of Art -- 13.3.1 Node MCU -- 13.3.2 PIR Sensor -- 13.3.3 Channel Relay -- 13.3.4 LDR -- 13.4 Proposed System -- 13.5 Features of Smart Street Light System -- 13.6 Results and Discussion -- 13.7 Conclusion and Future Scope -- References -- 14 Enhancing QoS of Wireless Edge Video Distribution using Friend-Nodes -- 14.1 Introduction -- 14.2 System Model -- 14.3 Video Dissemination Architecture -- 14.4 Simulation and Results -- 14.5 Conclusion -- References -- 15 Groundwater Monitoring and Irrigation Scheduling Using WSN -- 15.1 Introduction -- 15.2 Materials and Method -- 15.2.1 System Design -- 15.2.2 Data Collection -- 15.2.3 Hardware -- 15.2.4 Software and Database -- 15.2.5 Groundwater Level Measurement and Pumping Time -- 15.2.6 Crop Water Demand -- 15.2.7 Irrigation Water Requirements -- 15.2.8 Energy Consumption -- 15.2.9 Process Flow Diagram -- 15.2.10 Dashboard -- 15.3 Results -- 15.3.1 Discharge and Recharge of Groundwater -- 15.3.2 Electricity Consumption -- 15.3.3 Crop Water Demand -- 15.4 Conclusion -- References -- 16 A Soft Coalition Algorithm for Interference Alignment Under Massive MIMO -- 16.1 Introduction -- 16.2 System Model -- 16.3 Proposed Model -- 16.4 Experiment Results -- 16.5 Conclusion -- References -- Part III Optimization and Nature Inspired Methods -- 17 Improved Grasshopper Optimization Algorithm Using Crazy Factor -- 17.1 Introduction -- 17.2 Grasshopper Optimization Algorithms -- 17.2.1 Basic Grasshopper Optimization Algorithm (GOA) -- 17.2.2 Improved GOA with Crazy Factor (Crazy-GOA) -- 17.3 Result Analysis -- 17.4 Conclusion -- References -- 18 Reliability Estimation Using Fuzzy Failure Rate -- 18.1 Introduction -- 18.2 Reliability Using Fuzzy System -- 18.3 Discussion -- 18.4 Illustration. , 18.5 Conclusion -- References -- 19 A Sine Cosine Learning Algorithm for Performance Improvement of a CPNN Based CCFD Model -- 19.1 Introduction -- 19.2 Proposed SCA-CPNN-Based CCFD Model -- 19.2.1 Evaluation Criteria -- 19.3 Experimental Result Discussion -- 19.4 Conclusion -- References -- 20 Quality Control Pipeline for Next Generation Sequencing Data Analysis -- 20.1 Introduction -- 20.2 Background and Related Work -- 20.3 Datasets -- 20.4 Methods and Material -- 20.4.1 Duplicate Removal and Trimming -- 20.4.2 NGS Dataset -- 20.4.3 NULL Value Removal -- 20.4.4 Normalization -- 20.4.5 Dimensionality Reduction -- 20.5 Result Discussion -- 20.5.1 The Differentially Expressed Genes and Outlier Detection Visualization -- 20.5.2 The Differentially Expressed Gene Selection Using Dimension Reduction -- 20.6 Conclusion and Future Work -- References -- 21 Fittest Secret Key Selection Using Genetic Algorithm in Modern Cryptosystem -- 21.1 Introduction -- 21.1.1 Background -- 21.1.2 Motivation -- 21.1.3 Contribution -- 21.2 Preliminaries -- 21.2.1 Illustration of AVK -- 21.2.2 Genetic Algorithm -- 21.3 Proposed Work -- 21.4 Experiment Examples -- 21.5 Experiment Results -- 21.6 Performance Analysis -- 21.7 Randomness Verification -- 21.8 Conclusion -- 21.9 Future Work -- References -- 22 Variable Step Size Firefly Algorithm for Automatic Data Clustering -- 22.1 Introduction -- 22.2 Related Work -- 22.3 Variable Step Size Firefly Algorithm -- 22.4 Result Analysis -- 22.5 Conclusion -- References -- 23 GWO Based Test Sequence Generation and Prioritization -- 23.1 Introduction -- 23.1.1 Motivation -- 23.2 Basic Concept -- 23.2.1 GWO Algorithm -- 23.2.2 Adjacency Matrix -- 23.2.3 Objective Function/Fitness Function -- 23.3 Proposed Approach -- 23.3.1 Overview -- 23.3.2 Generation of Control Flow Graph -- 23.4 Implementation -- 23.4.1 Experimental Result. , 23.4.2 Prioritization.

Note: Intro -- International Program Committee -- Honorary Chair -- General Chairs -- Organizing Chair -- International Advisory Chair -- Founder of IRNet China -- Co-founder of IRNet China -- TPC Members -- Sponsors -- Preface -- Contents -- About the Editors -- 1 Study Optimization of Thermal Analysis of Anisotropic Materials in 3D Field Based on One-Dimensional Heat Conduction Equation Model -- 1.1 Introduction -- 1.2 Heat Transfer Mode and Process Analysis -- 1.3 Optimization Model of Protective Clothing Design for High-Temperature Engineering Work -- 1.3.1 The Establishment of the Model and the Proposal of the Hypothesis Conditions -- 1.3.2 Optimization Model Based on Inversion Method -- 1.4 Conclusion -- References -- 2 Shape Retrieval for 3D Models Based on MRF -- 2.1 Introduction -- 2.2 Feature Descriptor -- 2.3 Framework of Retrieval -- 2.3.1 Notations -- 2.3.2 Formulation -- 2.3.3 Potential Function -- 2.4 Spatial Consistency Test -- 2.4.1 Training -- 2.4.2 Testing -- 2.4.3 Index Based on Random Forest -- 2.4.4 Measure Similarity -- 2.5 Experiments -- 2.6 Conclusions -- References -- 3 Numerical Conformal Mapping Based on Improved Hermitian and Skew-Hermitian Splitting Method -- 3.1 Introduction -- 3.2 Numerical Conformal Mapping Based on the Charge Simulation Method -- 3.3 Improved HSS Method Based on (k, j)-Padé Iteration Method -- 3.4 Numerical Examples -- 3.5 Conclusions -- References -- 4 Hierarchical Clustering-Based Video Summarization -- 4.1 Introduction -- 4.2 Feature Extraction -- 4.2.1 Color Feature -- 4.2.2 Texture Feature -- 4.3 The Proposed Algorithm -- 4.3.1 Hierarchical Clustering Method -- 4.3.2 Optimize Initial Clustering Results to Extract Video Summary Key Frames -- 4.4 Experimental Results and Discussion -- 4.4.1 Evaluation Standard -- 4.4.2 Experimental Results -- 4.5 Conclusion -- References. , 5 Research on Multi-objective Optimization Problem of Engineering Project in 3D Field Based on Improved Particle Swarm Optimization Algorithm -- 5.1 Introduction -- 5.2 IPSO Algorithms -- 5.3 Model -- 5.4 Engineering Calculation and the Result Analysis -- 5.5 Conclusions -- References -- 6 3D Path Planning Based on Improved Particle Swarm Optimization Algorithm -- 6.1 Introduction -- 6.2 Path Planning Environment Modeling and Fitness Function -- 6.2.1 Environmental Modeling -- 6.2.2 Fitness Function -- 6.3 Improved PSO Algorithm -- 6.3.1 Basic PSO Algorithm -- 6.3.2 BFO Algorithm -- 6.3.3 Hybrid Algorithm -- 6.4 Simulation Verification -- 6.5 Conclusion -- References -- 7 Improving Parallel Magnetic Resonance Imaging Reconstruction Using Nonlinear Time Series Analysis -- 7.1 Introduction -- 7.2 Background -- 7.3 Method -- 7.4 Experimental Results -- 7.5 Conclusion -- References -- 8 Low Computational Complexity Third-Order Tensor Representation Through Inverse Spectrum Pyramid -- 8.1 Introduction -- 8.2 Method for Third-Order Tensor Representation Through 3D Reduced ISP -- 8.2.1 Representation of a Tensor of Size 4 × 4 × 4 -- 8.2.2 Representation of the Tensor of Size N × N × N Through N-Level 3D-RISP -- 8.3 Characteristics of the Spectrum Tensor Representation -- 8.4 Conclusions -- References -- 9 Spectral Reconstruction Based on Bayesian Regulation Neural Network -- 9.1 Introduction -- 9.2 Principle of Spectral Reflectance Reconstruction -- 9.2.1 Polynomial Regression -- 9.2.2 Bayesian Regularization BP Neural Network Algorithm -- 9.3 Experimental Results and Analysis -- 9.3.1 Experiment Process -- 9.3.2 Analysis and Comparison of Results -- 9.4 Conclusion -- References -- 10 Loose Hand Gesture Recognition Using CNN -- 10.1 Introduction -- 10.2 The Proposed Method -- 10.2.1 Training Data Preparation. , 10.2.2 The Proposed Neural Network Architecture -- 10.2.3 Loss Function -- 10.3 Experiments -- 10.3.1 CNN with Input RGB-D Images -- 10.3.2 CNN with Multi-resolution Features -- 10.3.3 Compared with Other Popular CNN Models -- 10.4 Conclusions -- References -- 11 Multi-focus Image Fusion Method Based on NSST and BP Neural Network -- 11.1 Introduction -- 11.2 Image Fusion Method -- 11.2.1 NSST Transformation -- 11.2.2 Feature Extraction and NSST Contrast -- 11.2.3 BP Neural Network Training -- 11.2.4 Algorithm Framework and Steps -- 11.3 Experiments Results -- 11.4 Conclusions -- References -- 12 Classification of 3D Remote Sensing Images Through Dimensionality Reduction and Semantic Segmentation Network -- 12.1 Introduction -- 12.2 Proposed Method -- 12.2.1 The Whole Approach Framework -- 12.2.2 Rasterization -- 12.2.3 Normalization and Hat Transform -- 12.2.4 DSM Post-processing -- 12.2.5 Network for Classification -- 12.3 Experiment -- 12.3.1 Training Deeplabv3+ -- 12.3.2 Post-processing by NDSM -- 12.3.3 Visualization of 3D Remote Sensing Images -- 12.4 Conclusion -- References -- 13 Research on Deep Learning Algorithm and Application Based on Convolutional Neural Network -- 13.1 Introduction -- 13.2 Convolutional Neural Network -- 13.2.1 Local Connection of Convolutional Neural Networks -- 13.2.2 Weight Sharing in Convolutional Neural Networks -- 13.3 The Overall Structure of the Convolutional Neural Network -- 13.4 The Application of Deep Learning Algorithm Based on Convolutional Neural Network -- 13.4.1 Application in the Field of Natural Language Processing -- 13.4.2 Application in the Field of Image Recognition -- 13.4.3 Application in the Field of Speech Recognition -- 13.5 The Conclusion -- References -- 14 Object Attribute Recognition Based on Hard Negative Mining and Convolutional Neural Network -- 14.1 Introduction. , 14.2 Object Location Based on Improved Faster R-CNN Model -- 14.2.1 Hard Negative Mining Strategy -- 14.2.2 OHEM-Faster R-CNN Object Location Model -- 14.3 Object Attribute Recognition Method Based on Improved Cascade Convolution Neural Network Model CS-CNN Model -- 14.3.1 Improved Activation Function and Loss Function -- 14.3.2 Improved CS-CNN Model Object Attribute Recognition Method -- 14.4 Experimental Simulations -- 14.4.1 Model Parameters -- 14.4.2 Experimental Simulations of Object Location -- 14.4.3 Contrastive Experimental Simulations of Object Attribute Recognition -- 14.5 Conclusion -- References -- 15 Research on Intelligent Identification Method of Power Equipment Based on Deep Learning -- 15.1 Introduction -- 15.1.1 Background -- 15.1.2 Purpose and Significance -- 15.1.3 Summary of Research Level at Home and Abroad -- 15.2 Solutions and Key Technologies -- 15.2.1 Power Equipment Image Processing and Feature Extraction -- 15.2.2 Power Equipment Classification -- 15.2.3 Establish a Standardized Image Analysis Library -- 15.3 Conclusion -- References -- 16 Chinese Color Name Identification from Images Using a Convolutional Neural Network -- 16.1 Introduction -- 16.2 Color Vocabulary Labeled Data Set -- 16.3 The Model of Color Recognition -- 16.3.1 Design of Multi-label Convolutional Neural Networks -- 16.3.2 Evaluation Criteria -- 16.3.3 Choosing the Appropriate Threshold -- 16.4 Conclusion -- References -- 17 Research and Design of a Key Technology for Accelerating Convolution Computation for FPGA-Based CNN -- 17.1 Introduction to Relevant Theories -- 17.1.1 Introduction to Convolution Neural Network -- 17.1.2 The Training Process -- 17.2 SpNet Model -- 17.3 Research on Correlation Algorithm Research -- 17.3.1 Im2col Algorithm -- 17.3.2 Strassen Algorithm -- 17.3.3 Improved Strassen Algorithm. , 17.4 An Accelerated Convolution Calculation Scheme Based on FPGA -- 17.4.1 Design of Training Architecture of Convolutional Neural Network Based on FPGA -- 17.4.2 Design and Implementation of Convolution Computing Module -- 17.4.3 Testing the Convolutional Neural Network -- 17.5 Summary -- References -- 18 Research on Voice Mark Recognition Algorithms Based on Optimized BP Neural Network -- 18.1 Introduction -- 18.2 Wavelet Transform of Voice Signal -- 18.3 Basic Conception of BP-GA -- 18.3.1 Construction of BP Neural Network VoicePrint Recognition -- 18.4 Design of Genetic Algorithm -- 18.5 Simulation Analyses of an Example with BP-GA Algorithm -- 18.6 Conclusions -- References -- 19 Single Image Super Resolution via Deep Convolutional Dual Upscaling Branches with Different Focus -- 19.1 Introduction -- 19.2 Related Works -- 19.2.1 Variant Shortcuts -- 19.2.2 Skillfully Nesting Modules -- 19.3 Proposed Method -- 19.3.1 The Entire Structure -- 19.3.2 Residual Learning Branch -- 19.3.3 Planar Component Branch -- 19.3.4 Mathematical Formulation -- 19.4 Experimental Results -- 19.4.1 Datasets -- 19.4.2 Parameters Settings -- 19.4.3 Results and Comparisons -- 19.4.4 Ablation Analysis -- 19.5 Conclusions -- References -- 20 Human Heart Model Rendering Based on BRDF Algorithm -- 20.1 Introduction -- 20.2 Theoretical Research and Experimental Methods -- 20.2.1 Theoretical Research -- 20.2.2 Experimental Method -- 20.3 Experimental Results -- 20.3.1 Experimental Conditions -- 20.3.2 Rendering Results and Analysis -- 20.4 Conclusions and Discussion -- References -- 21 Level Set Segmentation Algorithm for Cyst Images with Intensity Inhomogeneity -- 21.1 Introduction -- 21.2 C-V Model -- 21.3 Improved C-V Level Set Model -- 21.3.1 Local Information -- 21.3.2 Speed Function -- 21.3.3 Overall Energy Functional -- 21.4 Experimental Results and Analysis. , 21.5 Conclusion.

Note: Intro -- 4th International Conference on Intelligent and Interactive Systems and Applications (IISA2019) -- Editorial -- Acknowledgements -- Contents -- Intelligent Systems -- Recognition of Voiceprint Using Deep Neural Network Combined with Support Vector Machine -- Abstract -- 1 Introduction -- 2 Methods -- 3 Voiceprint Recognition Based on DBN-SVM -- 3.1 Experimental Procedures and Processes -- 3.2 Corpus Description and MFCC Extraction -- 3.3 DBN Training and Deep Feature Extraction -- 3.4 Experimental Result and Analysis -- 4 Conclusion -- Acknowledgments -- References -- Research on Intelligent Patent Classification Scheme Based on Title Analysis -- Abstract -- 1 Introduction -- 2 Topic-Based Patent Classification Scheme -- 2.1 The Process of Topic-Based Patent Classification Scheme -- 2.2 Results and Discussion -- 3 Title Word-Frequency-Based Patent Classification Scheme -- 3.1 The Process of Title Word-Frequency-based Patent Classification Scheme -- 3.2 Results and Discussion -- 4 Conclusions -- References -- Study on Intelligent Recognition Matching and Fusion Interaction Technology of Electrical Equipment Model -- Abstract -- 1 Introduction -- 1.1 Background -- 1.2 Purpose and Significance -- 1.3 Overseas Research Levels -- 1.4 Domestic Research Levels -- 2 Solutions and Key Technologies -- 2.1 Power Equipment Model Identification -- 2.2 Panoramic Model and Background Real-Time Monitoring Data Fusion Interaction -- 2.3 Physical Device Model Overlay and Virtual Integration -- 2.4 Model Control Interaction -- 3 Conclusion -- Acknowledgments -- References -- Deep Knowledge Tracing Based on Bayesian Neural Network -- Abstract -- 1 Introduction -- 2 Related Works -- 3 BDKT -- 3.1 BDKT Input Data -- 3.2 BDKT Model Structure -- 3.3 BDKT Parameter Learning -- 4 Results and Discussion -- 4.1 BDKT Vs DKT. , 4.2 BDKT Parameter Randomness and Model Uncertainty -- 4.3 Relationship Between the Students' Behaviors -- 5 Conclusion -- Acknowledgment -- References -- Co-simulation of Sub-frame of the Intelligent Fire Truck Based on SolidWorks and ANSYS Workbench -- Abstract -- 1 Introduction -- 2 Main Technical Difficulties -- 2.1 The Connection Problem -- 2.2 Contact Settings -- 2.3 Meshing -- 3 Load Loading -- 4 Simulation Results -- 4.1 Static Simulation Without Impact Force -- 4.2 Static Simulation with Impact Force -- 4.3 Modal Analysis of the Overall Structure -- 5 Conclusion -- Acknowledgments -- References -- Design of Framework on Intelligent Simulation and Test Platform for High Power Microwave Sources -- Abstract -- 1 Introduction -- 2 Requirement Analyses -- 2.1 User Requirements -- 2.2 Functional Requirements -- 2.3 Interface Requirements -- 3 Frame Design -- 3.1 Development Language Selection -- 3.2 Design Model -- 3.3 Design Method -- 3.4 Computing Model -- 4 Technical Support -- Acknowledgments -- References -- Design of Intelligent Meter Life Cycle Management System Based on RFID -- Abstract -- 1 Introduction -- 2 Anti-collision Algorithm Processing of RFID Signal -- 3 Composition of the Life Cycle Management System -- 3.1 Cloud Platform Management System -- 3.2 RFID Intelligent Meter Storage System -- 3.3 RFID Smart Meter On-Site Data Copying System -- 4 Design of RFID Electronic Tag Antenna -- 5 Conclusion -- Acknowledgements -- References -- Design of Single-Phase Intelligent Meter Based on RFID Semi Active Technology -- Abstract -- 1 Introduction -- 2 Overall Design of Smart Meter -- 3 Hardware Design of Smart Meter -- 3.1 CPU Module -- 3.2 Metering Module -- 3.3 Communication Module -- 3.4 Clock and Storage Module -- 4 Software Design -- 4.1 Overall Structure of the Software -- 4.2 RFID Interface Design Based on Three-Tier Architecture. , 5 System Debugging -- 6 Conclusion -- Acknowledgements -- References -- Research on Anti-fall Algorithms of Substation Intelligent Inspection Robot -- Abstract -- 1 Introduction -- 2 Design of Inspection Platform -- 3 Ranging Principle of Binocular Camera -- 4 Application Principle of Anti-falling -- 5 Design and Analysis of Algorithms -- 6 Conclusion -- References -- Research and Application of Process Object Modeling Method Based on Deep Learning -- Abstract -- 1 Introduction -- 2 DNN Deep Learning Algorithms -- 3 Modeling of DNN Deep Learning Network -- 3.1 Open-Loop Modeling Method Based on Multiple Inertial Filters -- 3.2 Closed-Loop Modeling Method Based on Two DNN Models -- 4 Conclusion -- References -- Performance Assessment of Smart Electricity Meters Based on Max Margin Bayesian Classifiers -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Feature Selection Based on Genetic Algorithm -- 2.2 Learning Max-Margin Bayesian Classifiers Based on Bagging Ensemble -- 2.3 Selecting Max Margin Bayesian Classifiers Subset Based on Clustering Algorithm -- 3 Experimental Results and Analysis -- 4 Conclusions and Future Works -- References -- Operating Performance Assessment of Smart Meters Based on Bayesian Networks and Convex Evidence Theory -- Abstract -- 1 Introduction -- 2 The Proposed Methodology -- 2.1 Discretization -- 2.2 Training of Bayesian Networks from Historical Data of Smart Electricity Meters -- 2.3 Using the Convex Evidence Theory to Integrate the Assessment Results of Bayesian Networks -- 3 Experimental Results and Analysis -- 4 Conclusions and Future Works -- Acknowledgments -- References -- Research on Object-Oriented Design Defect Detection Method Based on Machine Learning -- Abstract -- 1 Introduction -- 1.1 Motivation -- 1.2 Related Work -- 2 Software Design Defects -- 2.1 Related Concepts -- 2.2 Related Definition. , 3 Design Defect Detection Method -- 3.1 Design Defect Detection -- 3.2 Feature Extraction -- 3.3 Design Defect Classifier Algorithms -- 3.4 Design Defect Detection Algorithms -- 4 Experiment and Evaluation -- 4.1 Experiment -- 4.2 Result Analysis -- Acknowledgments -- References -- Design of Electromagnetic Energy-Saving Intelligent Vehicle -- Abstract -- 1 Introduction -- 2 Principles of Operation -- 3 Test Results -- 4 Conclusion -- Acknowledgments -- References -- New Energy Vehicle Reliability Research by Large Data -- Abstract -- 1 Introduction -- 2 Reliability Analysis Theory -- 3 Acquisition of Automobile Fault Data -- 4 Calculation of Equivalent Fault Number Change Curve of Automobile in Different Mileage Ranges -- 4.1 Establishing the Curve of Vehicle Type Changing with the Number of Mileage Faults -- 4.2 Classification of Fault Hazard Degree -- 4.3 Calculation of Equivalent Fault Number Change Curve of Automobile in Different Mileage Ranges -- 5 Calculation of Reliability Evaluation Index of Vehicle Type -- 6 Establishment of Comprehensive Evaluation Model of Vehicle Type Reliability -- 7 Conclusion -- References -- One-Step Prediction for GM(1,1) with a Sliding Data Window -- Abstract -- 1 Introduction -- 2 The GM(1,1) Model -- 3 Introducing the Sliding Data Window to GM(1,1) -- 4 The Requirements of Data Samples for GM(1,1) -- 5 Experimental Results -- 6 Conclusions -- Acknowledgement -- References -- Evaluation on Well-Canal Combined Irrigation Modes for Cotton Fields in the South of Xinjiang, China Based on an Algorithm of Fuzzy Neutral Network -- Abstract -- 1 Background -- 2 Flow and Steps of the Algorithm -- 2.1 Flow of Algorithm for Fuzzy Neural Network -- 2.2 Steps of the Algorithm -- 3 Mathematical Principles of the Algorithm -- 3.1 Principles of Fuzzy Mathematics and FNN -- 3.2 Fuzzy Function and FNN -- 4 Empirical Analysis. , 4.1 Prediction Image of Training Data Based on FNN Algorithm -- 4.2 Results -- 5 Conclusions -- Acknowledgements -- References -- Grape Downy Mildew On-line Detection Based on Accurate Image Processing Method Preformed on Embedded Ambient Intelligence System -- Abstract -- 1 Introduction -- 2 Intelligent Image Processing -- 2.1 Holistic Methods Organization Chart -- 2.2 Image Processing -- 2.3 Decrease of Disturbance of Leaf Vein -- 3 System Design -- 4 GDM Diagnose, Grading and Preventive Measures -- 5 Conclusion -- Acknowledgments -- References -- An Improved Bisecting K-Means Text Clustering Method -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Data Processing -- 3.1 Corpus Acquisition -- 3.2 Data Extraction Using Word2Vec -- 3.3 Using TF-IDF to Select Feature Word Vector -- 4 The Improved Bisecting K-Means Text Clustering Method -- 4.1 Bisecting K-Means Clustering -- 4.2 Improved Bisecting K-Means Algorithm -- 5 Experimental Results Analysis -- 5.1 Experimental Process -- 5.2 Experimental Results -- 6 Conclusion -- Acknowledgements -- References -- PLC-Based Control System Design of Intelligent and Efficient Multiple Parking Device -- Abstract -- 1 Introduction -- 2 Structure and Principle of Intelligent and High Efficiency Multiple Parking Device -- 3 Design of Control System -- 4 Design of System Hardware -- 5 Design of System Software -- 5.1 The Initialization of System -- 5.2 The Procedure of Storage Car -- 5.3 The Rotation of Motor -- 6 Conclusion -- Acknowledgement -- References -- Sparse Acceleration Algorithm Based on Likelihood Upper Bound -- Abstract -- 1 Introduction -- 2 Acceleration Based on Likelihood Upper Bound Filtering -- 2.1 Sparse Expression Target Tracking -- 2.2 Observation Likelihood Upper Bound -- 2.3 Bounded Particle Resampling -- 3 Experimental Results and Analysis -- 3.1 Experimental Data and Algorithm Description. , 3.2 Evaluation Criteria.

Note: Intro -- Preface -- Organizing Committee -- Contents -- Part ISignal and Image Processing -- 1 The PSF Measurement for Motion-Blurred Image Based on Analyzing the Frequency Spectrum -- Abstract -- 1…Introduction -- 2…Theoretical Analysis -- 2.1 The Relationship Between the PSF and Blurred Image Spectrum -- 2.2 Snake Model -- 2.3 Hough Transform in Polar Coordinate -- 3…The Point Spread Function Measurement for Motion-Blurred Image -- 3.1 The Steps for Solving Point Spread Function -- 3.2 Analysis of Experimental Results -- 4…Conclusion -- References -- 2 EBR Analysis of Digital Image Watermarking -- Abstract -- 1…Introduction -- 2…Watermarking Communication Model -- 3…Analysis of Watermarking Channel -- 4…Payload Capacity and EBR of Watermark Detection -- 5…Conclusions -- Acknowledgments -- References -- 3 Image Descriptors Based on Statistical Thermodynamics and Applications -- Abstract -- 1…Introduction -- 2…Research Ideas and the Main Content -- 2.1 Image Descriptor -- 2.2 Image Descriptor: Image Energy -- 2.3 Image Descriptor: Image Mass -- 2.4 Image Descriptor: Image Pressure -- 2.5 Image Descriptor: Image Temperature -- 3…Experiments and Analysis -- 3.1 Description of the Digital Image -- 3.2 Clustering Applications -- 3.3 Content-Based Image Retrieval -- 4…Conclusions -- Acknowledgments -- References -- 4 A Novel Image Retrieval Method Based on Fractal Code and Fuzzy Set -- Abstract -- 1…Introduction -- 2…Fractal Coding -- 3…Fuzzy Set Measure -- 3.1 Fuzzy Classifier -- 3.2 Proposed Algorithm -- 4…Similarity Measure -- 5…Experiment -- 6…Conclusion -- References -- 5 Velocity Evaluation in Traffic Accidents Occurred at the Road Intersection Based on Image Processing -- Abstract -- 1…Introduction -- 2…Algorithm Principle -- 3…Main Steps of Algorithm -- 3.1 Obtain Frame Sequences -- 3.2 Accurate Velocity of the Vehicle Calculation. , 3.3 Range Velocity of the Vehicle Calculation -- 4…Conclusion -- References -- 6 A Hybrid Method for Extracting Liver from 3D CT Image -- Abstract -- 1…Introduction -- 2…Related Research -- 3…Proposed Method -- 3.1 Three-Dimensional Region-Growing Algorithm -- 3.2 Image Morphology -- 4…Experimental Results -- 5…Summary -- References -- 7 A New Image-Fusion Technique Based on Blocked Sparse Representation -- Abstract -- 1…Introduction -- 2…Sparse-Coding Model -- 2.1 Selection of the Dictionary -- 2.2 Sparse Coding of Signals -- 3…Proposed Fusion Scheme -- 3.1 Fusion Framework Based on Sparse Coding -- 3.2 Fusion Rule -- 4…Experimental Results -- 5…Conclusion -- Acknowledgments -- References -- 8 The Studying of the Restoration of Defocused Images -- Abstract -- 1…Introduction -- 2…Disk Defocus Model -- 3…Gauss Defocus Model -- 4…Improved Defocus Model -- 5…Conclusion -- References -- 9 High-Order Total Variation-Based Image Restoration with Spatially Adapted Parameter Selection -- Abstract -- 1…Introduction -- 2…Problem Formulation -- 3…Implementation Details -- 4…Numerical Experiments -- Acknowledgments -- References -- 10 Research of Vehicle Identification Based on Adaptive Corner Detection -- Abstract -- 1…Introduction -- 2…Adaptive Harris Corner Detection -- 2.1 Harris Corner Detection Principle -- 2.2 Adaptive Harris Corner Detection Algorithm -- 3…Vehicle Classification and Recognition -- 3.1 Vehicle Matching Based on Hausdorff Distance -- 3.2 Experimental simulation and analysis -- 4…Conclusion -- References -- 11 Knowledge-Aided Bayesian Optimum Radar Detector -- Abstract -- 1…Introduction -- 2…Bayesian Optimum Radar Detector -- 3…Estimation Method for Detector Priori Distribution Parameter -- 3.1 PDF Fit-Based Method -- 3.2 Method of Fractional Moment -- 3.3 Method Based on Maximal Likelihood Estimation. , 4…KA-BORD Algorithm Performance Analysis -- 4.1 Algorithm Performance Analysis Based on Computer Simulation Data -- 4.2 Algorithm Performance Analysis Based on Sea-Clutter-Measured Data -- 5…Conclusion -- References -- Part IIComputer Security -- 12 An Improvement of an Identity-Based Key-insulated Signcryption -- Abstract -- 1…Introduction -- 2…Analysis of the Chen et al.'s Scheme -- 2.1 Review of the Chen et al.'s Scheme -- 2.2 Analysis -- 3…An Improved Scheme -- 3.1 Security Proof -- 4…Conclusion -- Acknowledgments -- References -- 13 Stability Analysis of a Rapid Scanning Worm Propagation Model with Quarantine Strategy -- Abstract -- 1…Introduction -- 2…Mathematical Model Formulation -- 3…The Stability Analysis for Equilibriums -- 3.1 Worm-Free Equilibrium and Its Stability -- 3.2 Endemic Equilibrium and Its Stability -- 4…Numerical Simulations -- 5…Conclusions -- Acknowledgments -- References -- 14 A Fuzzy Bayesian Approach to Enhance SCADA Network Security -- Abstract -- 1…Introduction -- 2…Architecture -- 3…Normal System Behavior Profiling -- 4…Anomaly Detection Algorithm -- 5…Simulations and Results -- Acknowledgments -- References -- 15 Trusted Network Access Authentication Scheme Based on the Label -- Abstract -- 1…Introduction -- 2…Summary of the Trusted Networks -- 3…Trusted Network Access Authentication Scheme Based on the Label -- 3.1 Scene Setting -- 3.2 Trusted Label -- 3.3 Access Authentication -- 4…Security Analysis -- 5…Conclusion -- References -- 16 A Mobile Terminal Authentication Scheme Based on Symmetric Cryptographic Mechanisms -- Abstract -- 1…Introduction -- 2…System Architecture -- 3…Authentication Process -- 3.1 Mobile User Registration -- 3.2 Authentication -- 3.3 Mobile User Unregistration -- 4…Scheme Analyze -- 4.1 Security Analyze -- 4.2 Performance Analysis -- 5…Conclusion -- Acknowledgments -- References. , 17 Wormhole Detection Algorithm Based on RTT and Neighborhood Information -- Abstract -- 1…Introduction -- 2…Wormhole Detection Algorithm Based on RTT and Neighborhood Information -- 2.1 Detecting Suspicious Neighbors -- 2.2 Looking for Abnormal Topology -- 2.3 Isolating False Neighbors -- 3…Simulation and Performance Analysis -- 4…Conclusion -- Acknowledgments -- References -- 18 Intrusion Detection Algorithm for the Wormhole Attack in Ad Hoc Network -- Abstract -- 1…Introduction -- 2…Wormhole Path-Tracking Algorithm Based on Detecting Nodes -- 2.1 The Specific Detection Algorithm Structuring -- 3…The Simulation -- 4…Conclusion -- Acknowledgments -- References -- 19 Ad hoc Eavesdropping Algorithm-Based Network Coding -- Abstract -- 1…Introduction and Related Research -- 2…Ad hoc Hacking Attack Resistance of Secure Network Coding -- 2.1 Network Model -- 2.2 Attack Model -- 2.3 Algorithm Ideas -- 2.4 Algorithm Ideas -- 3…Secure Proof -- 4…Communication Overhead -- 5…Conclusion and Outlook -- Acknowledgments -- References -- 20 Improved Halftone Visual Cryptography by Random Grids -- Abstract -- 1…Introduction -- 2…The Proposed Schemes -- 2.1 Random Position Selection -- 2.2 Homogeneous Distribution of SIPs -- 2.3 Generation of Halftone Shares -- 3…Simulation Results and Discussions -- 4…Discussions -- 5…Conclusions -- References -- 21 Statistical Tests for Combined Secret Key Sequence -- Abstract -- 1…Introduction -- 2…Binary Sequence Generation for Test -- 2.1 Combined Secret Key Generation -- 2.2 Generate and Save the Binary Sequence -- 3…Statistical Test and Assessment for CSK Sequences -- 3.1 Frequency (Monobit) Test -- 3.2 Runs Test -- 3.3 Serial Test -- 4…Conclusions -- Acknowledgments -- References -- Part IIICommunication and Networking -- 22 Interactive Satellite Remote Education System Based on Bluetooth and GPRS -- Abstract. , 1…Introduction -- 2…The Return Communication System -- 2.1 The Basic Frame of Method -- 2.2 Interactive Satellite Remote Education System Based on Bluetooth and GPRS -- 2.3 Data Interaction Process of System -- 3…The Design and Implementation of Core Modules -- 3.1 Terminal Node -- 3.2 Gateway -- 3.3 Mobile Node (Mobile) -- 4…Conclusions -- References -- 23 A Study of Smart Grid Communication Architecture -- Abstract -- 1…Introduction -- 2…SG Communications Requirements -- 3…SGICA -- 4…Information and Communication Technologies for SGICA -- 5…IP-Based Communications for SG -- 6…Summary -- Acknowledgments -- References -- 24 Green Router: Power-Efficient Router Design -- Abstract -- 1…Introduction -- 2…Architectural Design -- 3…Operation Mechanism -- 3.1 Dynamic Sleep and Wakeup -- 3.2 Dispatching Policy -- 4…Modeling and Evaluation -- 4.1 Modeling -- 4.2 Experiment and Evaluation -- 5…Conclusion -- References -- 25 Design and Implementation of Web Service for Scenario Data Service System in War Gaming -- Abstract -- 1…Introduction -- 2…Approach of Technology -- 3…Architecture of the System -- 4…Design and Implementation of Web Layer -- 4.1 Web Service Design -- 4.2 Index Service Design -- 5…Conclusion -- Acknowledgments -- References -- 26 Gateway of Internet of Things for Intelligent Warehouse Management System Based on Embedded Web Server -- Abstract -- 1…Introduction -- 2…Use Scenario and Functional Requirements of IOTGW -- 2.1 IOT Architecture of Intelligent Warehouse Management System -- 2.2 Functional Requirements of IOT Gateway -- 3…Design of Multiprotocol IOT-Gateway Based on Embedded Web Server -- 3.1 Design Elements and Principles -- 3.2 Architecture of Hardware and Software -- 4…Conclusions and Future Work -- Acknowledgments -- References -- 27 Research of Wireless Transmission Strategy for High-Speed Railway -- Abstract -- 1…Introduction. , 2…Research Environment and Content.

Note: Intro -- Preface -- Acknowledgements -- About the Book -- Contents -- About the Editors -- 1 Research on SaaS-Based Mine Emergency Rescue Preplan and Case Management System -- Abstract -- 1 Introduction -- 2 SaaS and Service-Oriented Architecture -- 3 The Architecture of System -- 4 The Components of System -- 5 System Implementation and Testing -- 6 Conclusion -- Acknowledgements -- References -- 2 An Investigation of Matching Approaches in Fingerprints Identification -- Abstract -- 1 Introduction -- 2 Research Method -- 2.1 Research Questions -- 2.2 Research Strategies -- 3 Fingerprints Matching Approaches -- 3.1 Taxonomy of the Study -- 3.2 Generic Process of Three Main Types of Fingerprints Matching -- 4 Current Issues of the Matching Approaches -- Acknowledgements -- References -- 3 Figure Plagiarism Detection Using Content-Based Features -- Abstract -- 1 Introduction -- 2 Content-Based Feature Extraction -- 3 Similarity Detection -- 4 Result and Evaluation -- 5 Conclusions -- Acknowledgements -- References -- 4 An Efficient Content-Based Image Retrieval (CBIR) Using GLCM for Feature Extraction -- Abstract -- 1 Introduction -- 2 Proposed System -- 2.1 Preprocessing Phase -- 2.2 Feature Extraction Phase -- 3 Methodology -- 4 Similarity Feature Extraction -- 5 Algorithm for GLCM -- 6 Results and Discussion -- 7 Comparative Analysis -- 8 Conclusions -- References -- 5 Emotion Recognition System Based on Facial Expressions Using SVM -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Emotion Recognition -- 3.1 Image Preprocessing -- 3.2 Feature Extraction -- 3.3 Feature Selection -- 3.4 Expression Recognition -- 3.5 Experiments Results -- 4 Conclusion -- References -- 6 An AES-CHAOS-Based Hybrid Approach to Encrypt Multiple Images -- Abstract -- 1 Introduction -- 1.1 Fast Chaotic Algorithm -- 1.2 AES Image Encryption -- 1.3 Cramer's Rule. , 2 Literature Review -- 3 Proposed Algorithm -- 4 Results -- 5 Conclusion -- References -- 7 Automatic Text Summarization of Video Lectures Using Subtitles -- Abstract -- 1 Introduction -- 2 Proposed System -- 2.1 Proposed Architecture -- 2.1.1 Data Preprocessing -- 2.1.2 Feature Selection for Summarization -- 2.1.3 Processing After Feature Selection for Summarization -- 3 Conclusion -- References -- 8 Classification of EMG Signals Using ANFIS for the Detection of Neuromuscular Disorders -- Abstract -- 1 Introduction -- 2 Proposed Model -- 2.1 Preprocessing of the EMG Signal -- 2.2 Processing or Feature Extraction of EMG Signal -- 2.3 Classification of EMG Signal -- 3 Results and Analysis -- 4 Conclusion -- References -- 9 Evaluating Similarity of Websites Using Genetic Algorithm for Web Design Reorganisation -- Abstract -- 1 Introduction -- 2 Web Mining-A Background -- 2.1 Web Mining Taxonomy -- 2.2 Web Mining Tasks -- 3 Literature Survey -- 4 Proposed Methodology -- 5 Experimental Evaluation -- 5.1 Proposed Genetic Algorithm -- 5.2 Computation of Similarity -- 6 Conclusion -- References -- 10 Fusion of Misuse Detection with Anomaly Detection Technique for Novel Hybrid Network Intrusion Detection System -- Abstract -- 1 Introduction -- 2 Proposed Hybrid Intrusion Detection Methodology -- 2.1 Feature Preparation Module -- 2.2 Misuse Analyzer Module -- 2.3 Anomaly Analyzer Module -- 3 Simulation Results -- 4 Conclusion -- References -- 11 Analysis of Reconfigurable Fabric Architecture with Cryptographic Application Using Hashing Techniques -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Implementation of Reconfigurable Fabric -- 4 Interconnect Topologies -- 5 Operation -- 6 Results -- 6.1 Hashing Function -- 7 Conclusion -- References -- 12 Privacy Preservation of Infrequent Itemsets Mining Using GA Approach -- Abstract -- 1 Introduction. , 2 Literature Survey -- 3 Problem Definition -- 4 Proposed Framework -- 5 Proposed Algorithm -- 5.1 Illustrated Example -- 6 Result Analysis -- 7 Conclusion -- References -- 13 A Quinphone-Based Context-Dependent Acoustic Modeling for LVCSR -- Abstract -- 1 Introduction -- 2 Working of ASR -- 3 Phonetic Representation of Speech Signals -- 3.1 Modeling Using Monophones -- 3.2 Modeling Using Triphones -- 3.3 Modeling Using Quinphones -- 4 Implementation -- 4.1 Speech Data Preparation -- 4.2 Training -- 4.3 ASR Performance Analysis -- 5 Experiments -- 5.1 Testing with Varying Vocabulary Sizes -- 5.2 Testing with Varying Gaussian Mixtures -- 6 Conclusion -- References -- 14 Slot-Loaded Microstrip Antenna: A Possible Solution for Wide Banding and Attaining Low Cross-Polarization -- Abstract -- 1 Introduction -- 2 Theoretical Background -- 3 Proposed Structure -- 4 Results and Discussions -- 5 Conclusions -- Acknowledgements -- References -- 15 Fractal PKC-Based Key Management Scheme for Wireless Sensor Networks -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 System Model -- 3.2 Fractal-based Key Pair Generation and Key Exchange -- 4 Fractal PKC-based Key Management Scheme: FPKM -- 4.1 Set-up Phase -- 4.2 Clustering Phase -- 4.3 Rekeying Phase -- 5 The Performance Evaluation of Proposed Scheme -- 6 Conclusion -- References -- 16 Histogram-Based Human Segmentation Technique for Infrared Images -- Abstract -- 1 Introduction -- 2 The Proposed Method -- 2.1 Selection of ROIs -- 2.2 Human Candidates Segmentation -- 3 Experiment Results -- 4 Conclusion -- References -- 17 Medical Image Segmentation Based on Beta Mixture Distribution for Effective Identification of Lesions -- Abstract -- 1 Introduction -- 2 Probability Distribution Functions of Beta Mixture Model Using the EM Algorithm -- 3 Clustering Algorithm Based on Fuzzy c-Means. , 4 Dataset -- 5 Segmentation Algorithm -- 5.1 Experimentation -- 6 Results Derived and Performance Analysis -- 7 Conclusion -- References -- 18 Toward Segmentation of Images Based on Non-Normal Mixture Models Based on Bivariate Skew Distribution -- Abstract -- 1 Introduction -- 2 Bivariate Skew Gaussian Mixture Model -- 3 k-Means Algorithm -- 4 Data Set Considered -- 5 Feature Selection -- 6 Experiment Result and Performance Evolution -- 7 Conclusion -- References -- 19 Development of Video Surveillance System in All-Black Environment Based on Infrared Laser Light -- Abstract -- 1 Introduction -- 2 Design of Video Capture System -- 2.1 IR Laser Aiding Light Module -- 2.2 Photoelectric Sensor Module -- 2.3 Central Control Module -- 3 System Testing -- 4 Conclusion -- Acknowledgements -- References -- 20 Data Preprocessing Techniques for Research Performance Analysis -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Business Intelligence -- 2.2 Data Preprocessing -- 3 Research Performance Analysis -- 3.1 Data Preprocessing Approach -- 4 Conclusion -- Acknowledgements -- References -- Author Index.

Note: Intro -- Preface -- Contents -- About the Editors -- Intelligent and Cloud Computing -- M-Throttled: Dynamic Load Balancing Algorithm for Cloud Computing -- 1 Introduction -- 2 Literature Survey -- 3 Existing Algorithms -- 3.1 Throttled Load Balancing -- 3.2 Round-Robin Load Balancing -- 3.3 SJF Load Balancing -- 4 Proposed Algorithm: M-throttled -- 5 Implementation -- 6 Conclusion -- References -- iGateLink: A Gateway Library for Linking IoT, Edge, Fog, and Cloud Computing Environments -- 1 Introduction -- 2 Related Work -- 3 System Model and Architecture -- 3.1 Implementation Details -- 4 Case Studies -- 5 Conclusions and Future Work -- References -- Hetero Leach: Leach Protocol with Heterogeneous Energy Constraint -- 1 Introduction -- 2 Routing Algorithm -- 2.1 LEACH -- 2.2 Hetero Leach -- 3 Simulation and Result -- 4 Conclusion -- References -- A Semantic Matchmaking Technique for Cloud Service Discovery and Selection Using Ontology Based on Service-Oriented Architecture -- 1 Introduction -- 2 Service-Oriented Computing -- 2.1 Service-Oriented Architecture -- 3 Proposed Model -- 3.1 Client Request -- 3.2 Cloud Service Discovery -- 3.3 Cloud Service Selection -- 3.4 Cloud Ontology Triple Store -- 4 Proposed Matchmaking Technique -- 5 Conclusion and Future Work -- References -- An Intelligent Approach to Detect Cracks on a Surface in an Image -- 1 Introduction -- 2 Literature Review -- 3 Min-Max Gray Level Discrimination Method -- 4 Proposed Model for Crack Detection -- 5 Conclusion -- References -- A Study of Machine Learning Techniques in Short Term Load Forecasting Using ANN -- 1 Introduction -- 2 ANN in STLF -- 2.1 Multilayer Perceptron Network (MLP) -- 2.2 Learning -- 2.3 Generalization -- 2.4 MLP Organizes in Burden Estimating -- 3 Proposed Work -- 3.1 Back Propagation (BP) by ANN -- 3.2 Fuzzy Logic by ANN. , 3.3 Hereditary Calculation (HC) by ANN -- 3.4 Particle Swarm Optimization (PSO) by ANN -- 4 Conclusion -- References -- A Review for the Development of ANN Based Solar Radiation Estimation Models -- 1 Introduction -- 2 Basics of Artificial Neural Network (ANN) -- 3 ANN for Solar Radiation Estimation -- 4 Review of Global Radiation Estimation Using ANN -- 5 Comparative Study of All the Models -- 6 Identified Research Gap in Solar Radiation Estimation -- 7 Conclusion -- References -- Analysis and Study of Solar Radiation Using Artificial Neural Networks -- 1 Introduction -- 2 ANN Fundamentals -- 2.1 What is ANN? -- 2.2 Nodal Configuration -- 2.3 ANN Types -- 2.4 Learning Stuff -- 3 ANN Working Principle and Architecture -- 3.1 Introduction -- 4 Applications, Advantages, and Disadvantages -- 4.1 Applications -- 4.2 Advantages -- 4.3 Disadvantages -- 5 Methodology -- 5.1 ANN for Predicting Solar Radiation -- 5.2 Data Considered -- 5.3 Operating Stages -- 5.4 Performance -- 6 Comparison Between ANN-Based and Existing Modeling -- 7 Conclusion -- References -- A Scheme to Enhance the Security and Efficiency of MQTT Protocol -- 1 Introduction -- 2 Literature Review -- 2.1 Security Requirements of IoT -- 2.2 Privacy Concerns in IoT -- 2.3 MQ Telemetry Transport (MQTT) -- 2.4 Architecture of MQTT -- 2.5 MQTT Quality of Service -- 2.6 Security Issues with MQTT -- 2.7 Hash Functions and Digital Signatures -- 2.8 Channel Encryption -- 2.9 Summary of Findings -- 2.10 Problem Statement -- 3 Proposed Scheme -- 3.1 Registration Process -- 4 Result and Discussions -- 5 Conclusions -- References -- Software Fault Prediction Using Random Forests -- 1 Introduction -- 1.1 Random Forests (RF) -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Datasets -- 3.2 Evaluation Criteria -- 4 Implementation and Results -- 5 Conclusion -- References. , A Power Optimization Technique for WSN with the Help of Hybrid Meta-heuristic Algorithm Targeting Fog Networks -- 1 Introduction -- 2 Related Works -- 3 Proposed Solution Methodology -- 3.1 Design Efficient WSN Nodes -- 3.2 Clusterization of the Target Area -- 3.3 Deployment of WSN Nodes Using Spiral Pattern WSN Node Deployment Policy -- 4 Numerical Result Analysis -- 5 Conclusion and Future Work -- References -- A Model for Probabilistic Prediction of Paddy Crop Disease Using Convolutional Neural Network -- 1 Introduction -- 2 Literature Survey -- 3 Paddy Crop Disease Classification -- 3.1 Brown Spot -- 3.2 Bacterial Leaf Blight -- 3.3 Leaf Smut -- 4 Implementation of the Model -- 4.1 Image Generation and Augmentation -- 4.2 Convolution Steps -- 4.3 Pooling Step -- 4.4 Fully Connected Layers -- 4.5 Disease Prediction -- 4.6 Process Flow Model -- 5 Algorithm of the Model -- 6 Experimental Results -- 7 Conclusions and Future Work -- References -- A Hybridized ELM-Elitism-Based Self-Adaptive Multi-Population Jaya Model for Currency Forecasting -- 1 Introduction -- 2 Methodology Adopted -- 2.1 ELM -- 2.2 Jaya -- 3 Dataset Description -- 4 Experimental Analysis -- 4.1 Abstract View of the Proposed Model -- 4.2 Proposed ELM-ESAMPJ Algorithm for Exchange Rate Analysis -- 4.3 Result Analysis -- 5 Discussions -- 6 Conclusion and Future Work -- References -- A Fruit Fly Optimization-Based Extreme Learning Machine for Biomedical Data Classification -- 1 Introduction -- 2 Machine Learning Techniques for Biomedical Data Classification -- 2.1 Extreme Learning Machine (ELM) -- 2.2 Fruit Fly Optimization (FFO) -- 2.3 The Proposed FFO-ELM Models -- 3 Result and Discussion -- 3.1 Data Description -- 3.2 Performance Evaluation -- 3.3 Result Analysis -- 4 Conclusion -- References -- Partial Reconfiguration Feature in Crypto Algorithm for Cloud Application. , 1 Introduction -- 2 Generations of Crypto Core -- 3 State of the Art -- 4 Architecture and Implementation -- 4.1 Low Processing Platform (LP) -- 4.2 Fog -- 4.3 Cloud -- 5 Conclusion -- References -- Proactive Content Caching for Streaming over Information-Centric Network -- 1 Introduction -- 2 System Model -- 3 Proposed Solution -- 3.1 Content Store (CS) -- 3.2 Ant Colony Process -- 4 Experimental Results -- 5 Conclusion -- References -- Performance Analysis of ERWCA-Based FLANN Model for Exchange Rate Forecasting -- 1 Introduction -- 2 Methodology -- 2.1 FLANN Model -- 2.2 Evaporation Rate-Based Water Cycle Algorithm (ERWCA) -- 2.3 FLANN/ERWCA Model -- 3 Simulation Study -- 4 Conclusion -- References -- Multi-document Summarization Using Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 4 Experiment and Results Analysis -- 5 Conclusion -- References -- A Convolutional Neural Network Framework for Brain Tumor Classification -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Input Image -- 3.2 Convolution Layer -- 3.3 Pooling Layer -- 3.4 Fully Connected Layer -- 3.5 Output Layer -- 4 Experimental Setup and Results -- 4.1 Dataset Description -- 4.2 Initial Kernel Weights -- 4.3 Activation Function -- 4.4 Loss Function Computation -- 4.5 Training -- 4.6 Model Parameters -- 4.7 Simulation Results -- 5 Conclusion -- References -- Load Balancing in Cloud Computing Environment Using CloudSim -- 1 Introduction -- 2 Related Work -- 3 Objective of Load Balancing in Cloud Computing -- 4 Necessity of Load Balancing -- 5 Verification of Load Balancing Using Cloud Simulator -- 5.1 Various Features of CloudSim Tool -- 5.2 Primary Elements of CloudSim Tool -- 5.3 Algorithm Utilized in CloudSim Tool for Load Balancing -- 6 Experimental Results -- 7 Conclusion -- References. , Assessment of Load in Cloud Computing Environment Using C-means Clustering Algorithm -- 1 Introduction -- 2 Literature Review -- 3 Proposed Approach -- 3.1 Resource Allocation -- 3.2 Algorithm -- 4 Result Analysis -- 5 Conclusion -- References -- Parallel Implementation of Algebraic Curve for Data Security in Cloud Computing Environment -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Explicit Addition Formulation -- 4 Implementation -- 4.1 Sequential Implementation Methodology -- 4.2 Parallel Implementation Methodology -- 5 Experimental Results and Analysis -- 5.1 Sequential Implementation of Elliptic Curve Addition -- 5.2 Sequential Implementation of Hyperelliptic Curve Addition -- 5.3 Parallel Implementation of Hyperelliptic Curve Addition -- 6 Performance Comparison of Sequential and Parallel Implementation -- 7 Conclusion -- References -- A Design Towards an Energy-Efficient and Lightweight Data Security Model in Fog Networks -- 1 Introduction -- 2 Related Works -- 3 Background -- 4 Proposed Approach and Related Discussions -- 4.1 Lightweight Authentication Using CA Based Scheme -- 4.2 Lightweight Cryptography Using CA Based Scheme -- 5 Conclusions and Future Work -- References -- Fuzzification-Based Routing Protocol for Wireless Ad Hoc Network -- 1 Introduction -- 2 Related Works -- 3 Proposed Work -- 4 Simulation Analysis -- 5 Conclusion and Future Work -- References -- Fuzzy-Based Strategy Management in Wireless Ad Hoc Network -- 1 Introduction -- 2 Related Works -- 3 Proposed Work -- 4 Simulation Analysis -- 5 Conclusion and Future Work -- References -- A TWV Classifier Ensemble Framework -- 1 Introduction -- 2 Proposed TWV Classifier Ensemble -- 3 Experimental Setup and Result Analysis -- 4 Conclusion -- References -- Recent Advancements in Continuous Authentication Techniques for Mobile-Touchscreen-Based Devices. , 1 Introduction to Continuous Authentication (CA).

Note: Intro -- Waste Management in the Fashion and Textile Industries -- Copyright -- Contents -- Contributors -- Part One: Introduction -- Chapter 1: Fashion waste management problem and sustainability: A developing country perspective -- 1.1. Introduction -- 1.2. Waste management -- 1.2.1. 3R approach -- 1.2.2. Exchange and renting -- 1.2.3. Upcycling concept -- 1.2.4. Controlling waste by lean concepts -- 1.2.4.1. Minimizing process waste -- 1.2.4.2. Minimizing material waste -- 1.2.5. Effluent treatment -- 1.2.6. Fashion consumption and consumer attitude -- 1.2.7. Product life cycle assessment -- 1.2.8. Recyclability -- 1.3. Recycling of plastics (polyester and nylon) -- 1.4. Survey findings -- 1.5. Conclusions and future directions -- Acknowledgment -- References -- Chapter 2: Hazards of fashion and textile waste: Approaches for effective waste management -- 2.1. Introduction -- 2.2. Problems and hazards associated with raw material types -- 2.3. Hazards of wasteful utilization of toxic chemicals-Land, water, and air pollution -- 2.3.1. Problems and hazards associated with toxic chemicals -- 2.3.2. Problems and hazards associated with water and air pollution -- 2.3.3. Problems and hazards associated with soil infertility and degradation -- 2.4. Problems and hazards caused by textile and fashion waste -- 2.4.1. Textile waste and associated hazards -- 2.4.2. Hazards and waste from fashion industry -- 2.4.3. Hazards of overproduction in fashion industry -- 2.4.4. Deleterious impacts of fast fashion on environment -- 2.4.5. Hazards due to transport and shipment of fashion merchandise -- 2.4.6. Hazards due to improper buying and usage behavior of consumers -- 2.4.7. Hazards due to problematic recycling -- 2.4.8. Hazards associated with fashion waste -- 2.5. Waste management strategies to combat textile and fashion hazards. , 2.5.1. Role of designers in waste management -- 2.5.2. Waste management at the raw material procurement stage -- 2.5.3. Role of manufacturers in waste management -- 2.5.4. Waste management by minimal and effective utilization of chemicals and water -- 2.5.5. Waste management by effective utilization of water -- 2.5.6. Wastewater recycling and treatment -- 2.5.6.1. Wastewater treatment -- 2.5.7. Waste elimination at source and waste minimization -- 2.5.7.1. Product changes as means of waste minimization -- 2.5.7.2. Process changes as means of waste minimization -- 2.5.8. Waste management by recycling and regeneration -- 2.5.8.1. Recycling and regeneration techniques -- 2.5.9. Innovative approaches by fashion industry for waste management -- 2.5.9.1. Emergence of smart fashion -- 2.5.9.2. Introducing the concept of slow fashion -- 2.5.9.3. Principle of sharing economy -- 2.5.9.4. Extended producer responsibility (EPR) and in-store collection -- 2.5.9.5. Endorsing closed loop system -- 2.5.9.6. Raising consumer awareness -- 2.5.10. Role of brands in waste management -- 2.5.11. Role of consumers in waste management -- 2.5.12. Disposal ecology for waste management -- 2.6. Conclusions -- Further reading -- Part Two: Waste management technologies in manufacturing -- Chapter 3: Management of spinning and weaving wastes -- 3.1. Introduction -- 3.2. Classification of waste -- 3.3. Waste in spinning -- 3.3.1. Blow room -- 3.3.2. Carding -- 3.3.3. Draw frame -- 3.3.4. Combing -- 3.3.5. Simplex -- 3.3.6. Ring frame -- 3.3.7. Winding -- 3.4. Waste in weaving -- 3.4.1. Warping -- 3.4.2. Sizing -- 3.4.3. Knotting -- 3.4.4. Gaiting/tying-in wastage -- 3.4.5. Selvedge -- 3.4.6. Chindi -- 3.4.7. Beam residual wastage -- 3.5. Recycling of spinning and weaving waste -- 3.6. Machine for waste management -- 3.6.1. Willow machine -- 3.6.2. Marzoli trash analyzer. , 3.6.3. Marzoli recycling waste reopener (RWR) -- 3.6.4. Roving stripping and opening machine -- 3.6.5. Thread extractor (Bhatia, 2017) -- 3.6.6. Garnetting machine -- 3.7. Conclusions -- Acknowledgment -- References -- Chapter 4: Management of wastes in garment manufacturing -- 4.1. Introduction -- 4.2. The importance of marker planning and fabric waste management -- 4.3. Recycling fiber, yarn, and fabric wastes and recent trends -- 4.4. Bangladesh using cotton waste as a source of biogas -- 4.5. Solid waste from the Ethiopian leather sector -- 4.6. The control measures in waste management -- 4.6.1. What can be done to minimize wastes? -- Garneting -- Web preparation -- 3D weaving -- Composite manufacturing -- Compression molding -- Seamless garments -- 4.7. Conclusions and future directions -- References -- Chapter 5: Technologies for the management of wastewater generated in wet processing -- 5.1. Introduction -- 5.2. Control of effluent quality -- 5.2.1. Equalization -- 5.2.2. Recovery of by-products -- 5.2.3. Process modification -- 5.2.4. Loss of chemicals -- 5.2.5. Segregation -- 5.3. Effluent treatment methods -- 5.3.1. Coagulation, flocculation, and precipitation -- 5.3.2. Adsorption methods -- 5.3.3. Synthetic ion exchangers -- 5.3.3.1. Fiber-based synthetic bioabsorbents -- 5.3.4. Biological treatments -- 5.3.5. Oxidation techniques -- 5.3.6. Membrane separation -- 5.3.6.1. Microfiltration (MF) -- 5.3.6.2. Ultrafiltration (UF) -- 5.3.6.3. Nanofiltration (NF) -- 5.3.6.4. Hyperfiltration (HF)/reverse osmosis (RO) -- 5.3.7. Electrochemical processes -- 5.3.7.1. Electrodialysis -- 5.4. Effluent treatment plant -- 5.5. Conclusions -- References -- Chapter 6: Management of air quality -- 6.1. Introduction -- 6.2. Effluent gas -- 6.2.1. CO2 removal -- 6.2.1.1. Amine scrubbing -- 6.2.1.2. CO2 storage -- 6.2.2. SOx removal -- 6.2.3. NOx removal. , 6.2.4. Mercury removal -- 6.3. Volatile organic compounds (VOCs) -- 6.4. Activated carbon fibers -- 6.5. Alternative technologies -- 6.6. Conclusions -- Funding -- References -- Part Three: Retail and consumer waste management technologies -- Chapter 7: Packaging waste and their management technologies -- 7.1. Introduction -- 7.2. Packaging defined -- 7.3. Functions of packaging -- 7.4. Materials used for packaging -- 7.5. Consumer attitudes -- 7.6. Managing package waste -- 7.6.1. Recycle -- 7.6.2. Waste prevention or material minimization -- 7.6.3. Reuse -- 7.6.4. Compostable -- 7.6.5. Energy recovery -- 7.7. Conclusions and future directions -- References -- Chapter 8: End of life clothes and their management -- 8.1. Introduction -- 8.2. Collection of used clothing -- 8.3. Reuse of secondhand clothing -- 8.4. Redesign and remanufacturing -- 8.5. Recycling -- 8.5.1. Mechanical recycling -- 8.5.2. Thermal recycling -- 8.5.3. Chemical recycling -- 8.6. Energy recovery -- 8.7. Disposal to landfill -- 8.8. Conclusions -- References -- Chapter 9: Organizations and standards related to textile and fashion waste management and sustainability -- 9.1. Introduction -- 9.1.1. Waste management and sustainability -- 9.1.1.1. Green manufacturing and recycling in fashion -- Organic cotton -- Organic cotton production across the globe -- The opportunities and setting standards for organic cotton -- 9.1.1.2. Green distribution -- 9.1.1.3. Green retailing -- 9.2. Organizations for waste management and sustainability -- 9.2.1. Fashion brands -- 9.2.1.1. HandM -- 9.2.1.2. Marks and Spencer -- 9.2.1.3. Patagonia -- 9.2.1.4. Nike -- 9.2.2. Few other fashion brands -- 9.3. Standards for waste management and sustainability -- 9.3.1. Global organic textile standards (GOTS) -- 9.3.2. Sustainable textile production (STeP) by OEKO-TEX. , 9.3.3. Eco-label certification such as STANDARD 100 by OEKO-TEX -- 9.3.4. Bluesign -- 9.3.5. Cradle to cradle -- 9.3.6. International standards organization -- 9.3.7. Higg index and sustainable apparel coalition -- 9.4. Other organizations and events -- 9.4.1. Zero discharge of hazardous chemicals (ZDHC) -- 9.4.2. UNGC code of conduct for the fashion and textile industry -- 9.4.3. Copenhagen fashion summit -- 9.4.4. Dow Jones sustainability world index -- 9.4.5. Fashion transparency index -- 9.4.6. Youth fashion summit -- 9.4.7. Specific codes of conduct in Australia -- 9.4.8. Specific codes of conduct in Germany -- 9.5. Extended producer responsibility (EPR) for textiles -- 9.5.1. EPR program for postconsumer textiles and clothing recovery -- 9.6. Challenges and opportunities in waste management with Indian paradigms -- 9.6.1. Upasana studio, Auroville, India -- 9.6.1.1. Tsunamika -- 9.6.1.2. Small steps -- 9.6.2. Fabric Monde, Bengaluru -- 9.6.3. Pratibha Syntex, Indore -- 9.6.4. Stylumia, Bengaluru -- 9.7. Conclusions and future directions -- 9.7.1. Significant findings -- 9.7.2. Future directions -- References -- Part Four: Other waste management technologies -- Chapter 10: Automotive waste management technologies -- 10.1. Introduction -- 10.2. Automotive waste -- 10.2.1. Recycling and energy recovery -- 10.2.2. Mechanical recycling -- 10.2.3. Argon process -- 10.2.4. Thermal treatment process -- 10.2.4.1. Pyrolysis process -- 10.2.4.2. Sequential gasification and combustion -- 10.2.5. Injecting molding with automobile shredder residue -- 10.3. Recycling automotive composites and components -- 10.4. End of life (EOL) -- 10.5. Other applications -- 10.6. Conclusions -- Funding -- References -- Chapter 11: Waste management in coated and laminated textiles -- 11.1. Introduction -- 11.2. Coated and laminated textiles -- 11.2.1. Coated textiles. , 11.2.2. Nanomaterial incorporated coated textiles.

Note: Intro -- Preface -- Editorial -- Contents -- About the Editors -- 1 Introduction to Blockchain Evolution, Architecture and Application with Use Cases -- 1.1 Layman's Introduction to Blockchain -- 1.2 The Blockchain Technology -- 1.3 Types of Blockchain -- 1.4 Evolution of Blockchain -- 1.4.1 Blockchain 1.0: Programmable Money and Cryptocurrencies -- 1.4.2 Blockchain 2.0: Smart Contracts -- 1.4.3 Blockchain 3.0: Decentralised Web -- 1.5 Ledger System for Blockchain -- 1.5.1 Centralized Ledger Systems -- 1.5.2 Distributed Ledger Systems -- 1.6 Layers of Blockchain -- 1.6.1 Hardware or Infrastructure Layer -- 1.6.2 Data Layer -- 1.6.3 Network Layer -- 1.6.4 Consensus Layer -- 1.6.5 Application Layer -- 1.7 Use Cases and Applications of Blockchain -- 1.8 Development Tools for Blockchain -- 1.9 Summary -- References -- 2 Blockchain: A Technology in Search of Legitimacy -- 2.1 Introduction -- 2.2 Theoretical Background -- 2.3 Research Design and Methodology -- 2.4 Results -- 2.5 Discussion and Conclusion -- References -- 3 Using Blockchain in Intermittently Connected Network Environments -- 3.1 Introduction -- 3.2 Overview of Delay Tolerant Networks -- 3.2.1 Features -- 3.2.2 Architecture -- 3.2.3 Routing -- 3.2.4 Applications -- 3.3 Rudimentary Elements of Blockchain -- 3.3.1 Blocks -- 3.3.2 Transaction -- 3.3.3 Mining -- 3.3.4 Ethereum and Smart Contracts -- 3.4 Integration of Blockchain Technology with DTNs -- 3.4.1 System Components -- 3.4.2 Generation and Transmission of Shelter Needs -- 3.4.3 Need Validation and Creation of Local Blockchain -- 3.4.4 Block Conversion Through API -- 3.4.5 Mining Blocks and Deploying to Global Blockchain -- 3.5 Open Research Areas -- 3.6 Conclusion -- References -- 4 Slaying the Crypto Dragons: Towards a CryptoSure Trust Model for Crypto-economics -- 4.1 Introduction: Blockchain and the Right to Be Forgotten. , 4.2 The New 'Crypto-economy'-A Fraudsters' Playground? -- 4.3 Blockchain: Sceptical ICT Professionalism and Legal Due Diligence -- 4.4 The Need for Trusted Third Parties and for Probative Electronic Evidence -- 4.5 Towards a CryptoSure Trust Model for Crypto-economics -- 4.6 Conclusions: Blockchain Versus Trust-The Expert Issues in Disputes Over Crypto Assets -- 5 Decentralized Governance for Smart Contract Platform Enabling Mobile Lite Wallets Using a Proof-of-Stake Consensus Algorithm -- 5.1 Introduction -- 5.2 Preliminaries for Qtum Decentralized Blockchain Governance -- 5.3 Qtum Basic Requirement Sets for Decentralized Governance -- 5.3.1 UTXO Versus Account Model -- 5.3.2 Consensus Management -- 5.3.3 Mutualized Proof-of-Stake -- 5.3.4 AAL and EVM Integration -- 5.4 Scalability Extension of the Virtual Machine Through Decentralized Governance -- 5.4.1 Qtum Transaction Processing Using Virtual Machine -- 5.4.2 Decentralised Governance Protocol -- 5.5 Qtum Account Abstraction Layer -- 5.6 Discussion of the Technical Governance Realization -- 5.6.1 Hard fork Update -- 5.6.2 Qtum X86 Virtual Machine -- 5.7 Conclusions -- References -- 6 Blockchain Technology: Security and Privacy Issues -- 6.1 Introduction -- 6.2 Distributed Ledger Technology -- 6.2.1 Blockchain Benefits -- 6.2.2 How Blockchain Works -- 6.2.3 Consensus Algorithms -- 6.3 Blockchain Pros and Cons -- 6.4 Applications of Blockchain -- 6.4.1 Blockchain 1.0 -- 6.4.2 Blockchain 2.0 -- 6.5 Blockchain Security Issues -- 6.5.1 Cryptojacking Attacks -- 6.5.2 51% Attack -- 6.5.3 Smart Contract Attacks -- 6.6 Discussion -- 6.6.1 Voting and Blockchain -- 6.6.2 Energy and Blockchain -- 6.6.3 Web 3.0 and Blockchain -- 6.7 Conclusions -- References -- 7 Personal Data Protection in Blockchain with Zero-Knowledge Proof -- 7.1 Introduction -- 7.2 Related Works -- 7.3 Background About Blockchain. , 7.4 Personal Data Protection and Blockchain -- 7.5 Zero-Knowledge Proof on Blockchain -- 7.5.1 Zerocoin Protocol -- 7.5.2 Zerocash Protocol -- 7.5.3 Zcash and Zk-SNARK -- 7.6 Conclusion -- References -- 8 Design and Verification of Privacy Patterns for Business Process Models -- 8.1 Introduction -- 8.2 A Privacy-Aware System Using Blockchain -- 8.2.1 Scenario: A Cloud-Based Order System -- 8.3 GDPR Verification -- 8.3.1 Design Time Verification -- 8.3.2 Runtime Verification -- 8.4 Experimental Results -- 8.4.1 Evaluation of Design Time Verification -- 8.4.2 Evaluation of Runtime Verification -- 8.5 Conclusion -- References -- 9 Blockchain Technology in Energy Field: Opportunities and Challenges -- 9.1 Introduction -- 9.2 Blockchain Solutions for Energy Internet -- 9.3 Application Scenarios of Blockchain Technology in the Energy Industry -- 9.4 Challenges -- 9.5 Conclusions -- References -- 10 BlockChainTechnology for Energy Transition -- 10.1 Introduction -- 10.2 What Is the "Energy Transition"? -- 10.2.1 Business Models in the Energy Sector -- 10.2.2 New Business Models for Energy Transition -- 10.3 BlockChain and Smart Contracts in the Energy Sector -- 10.3.1 Types of Applications of BlockChain and Smart Contracts in the Energy Sector -- 10.3.2 New Business Models Enabled by BlockChain in the Energy Market -- 10.3.3 Risks and Issues Related to BlockChain and Smart Contracts -- 10.4 The Framework -- 10.4.1 The Business Model Canvas -- 10.4.2 The Use Case Selection -- 10.4.3 Impact Analysis of the Two Selected Use Cases -- 10.4.4 The Business Models for the Use Cases -- 10.4.5 Microgrid Business Model (Elaborated After the Workshop) -- 10.4.6 Discussion of the Results -- 10.5 Current Trends and Future Scenarios -- 10.5.1 P2P Distributed Energy Trading for Residential Microgrids. , 10.5.2 Bridging Industrial and Residential Microgrids Through Electric Vehicles -- 10.6 Conclusions -- References -- 11 The Feasibility and Significance of Employing Blockchain-Based Identity Solutions in Health Care -- 11.1 Introduction -- 11.2 A Brief History of Identities in the Digital Age -- 11.2.1 Fully Centralized Identity Management -- 11.2.2 Federated Identity Management -- 11.2.3 User-Centric Identity Management -- 11.3 The Main Ideas Behind Decentralized Identity Management -- 11.3.1 Decentralized Identifier Based on Blockchain -- 11.3.2 Zero-Knowledge Proof -- 11.3.3 Decentralized Blockchains and the Internet -- 11.4 The Technical Architecture of Decentralized Identity Management -- 11.4.1 Architecture Overview -- 11.4.2 Blockchain-Based DID Service -- 11.4.3 Standardization of DIDs -- 11.4.4 Examples of DID Frameworks -- 11.5 The Potential of Applying Blockchain-Based DID Solutions in Health Care -- 11.5.1 Addressing the Patient Mismatching Problem -- 11.5.2 Facilitating Patient Recruitment in Clinical Research Using DID -- 11.5.3 The Safer Use of Medical Devices -- 11.5.4 Limitations Facing Current Blockchain-Based DID Solutions -- 11.6 Conclusion -- References -- 12 Toward eHealth with Blockchain: Success Factors for Crowdfunding with ICOs -- 12.1 Introduction -- 12.2 Theoretical Background -- 12.2.1 eHealth -- 12.2.2 Initial Coin Offerings (ICOs) and Blockchain -- 12.2.3 Signaling Theory -- 12.3 Research Method -- 12.3.1 Related Work -- 12.4 Research Hypotheses -- 12.4.1 Data and Variables -- 12.5 Results and Discussion -- 12.5.1 Descriptive Statistics of the ICO Data -- 12.5.2 Multivariate Analysis of the Factors Influencing the Success -- 12.6 Discussion -- 12.7 Conclusion -- References -- 13 Blockchain Track and Trace System (BTTS) for Pharmaceutical Supply Chain -- 13.1 Introduction -- 13.2 Related Works. , 13.3 Overview of Bitcoin, Blockchain Platforms and Smart Contracts -- 13.4 The Proposal Model -- 13.4.1 Structure of Blockchain Track and Trace System (BTTS) -- 13.4.2 The Proposed Smart Contracts -- 13.5 Conclusion and Future Works -- References.

Note: Intro -- Preface -- Organizing Committee -- Contents -- 1 Research on Hierarchical Clustering Algorithm Based on Cluster Outline -- Abstract -- 1…Introduction -- 2…Definition and Solution -- 2.1 The Definition of Boundary Point and Cluster Outline -- 2.2 The Solution of Cluster Outline -- 3…The Design of Hierarchical Clustering Algorithm Based on Cluster Outline -- 3.1 The Clustering Between Clusters -- 3.2 The Clustering Between Clusters and Outliers -- 3.3 The Process of the Algorithm -- 4…The Experimental Analysis -- 5…Conclusions -- Acknowledgments -- References -- 2 Exploration of Fault Diagnosis Technology for Air Compressor Based on Internet of Things -- Abstract -- 1…Introduction -- 2…The Remote Diagnosis System Designment of the Air Compressor Using Internet of Things -- 3…Field Information Collection with the Internet of Things Technology -- 4…To Realize Remote Monitoring Using Communication Technology -- 5…To Build Fault Model -- 6…To Establish Fault Diagnosis Expert System -- 7…Summary -- Acknowledgments -- References -- 3 An Enhancement Algorithm Based on Fuzzy Sets Algorithm Using Computer Vision System for Chip Image Processing -- Abstract -- 1…Introduction -- 2…Related Works -- 2.1 Image Enhancement -- 2.2 Vision-Based Detection System -- 2.3 Image Edge -- 3…Methodology -- 3.1 Introduction of Fuzzy Sets -- 4…Results and Discussion -- 5…Conclusions -- References -- 4 Development of DDoS Attack Defense System Based on IKEv2 Protocol -- Abstract -- 1…Introduction -- 2…IKEv2 Protocol Analysis and Design -- 3…Development of DDoS Attack Defense System Based on IKEv2 Protocol -- 4…Conclusions -- References -- 5 Power Data Network Dynamic Simulation Platform -- Abstract -- 1…Introduction -- 2…Introduction of Existing Simulation Technology -- 3…Dynamic Simulation Platform for the Design of the Electric Power Data Network. , 3.1 Logical Structure -- 3.2 Hierarchy -- 4…Working Mechanism of Power Data Network Dynamic Simulation Platform -- 4.1 Simulate the Dynamic Interaction Objects -- 4.2 Dynamic Mock Object -- 4.3 Different Levels of Dynamic Change Agreement -- 4.4 Simulation Performance Improvements -- 5…Conclusions -- Acknowledgments -- 6 An Emotional Model Based on Multiple Factors -- Abstract -- 1…Introduction -- 2…Problem Description and Approach -- 2.1 Problem Description -- 2.2 Perception Module -- 2.3 Subconscious Module -- 2.4 Inside Variable Module -- 2.5 Character Module -- 2.6 Mood Module -- 2.7 Emotion Module -- 2.8 Behavior Module -- 3…Experiments and Results -- 3.1 Experiments -- 3.2 Results -- 4…Conclusions -- 7 Multi-Source and Heterogeneous Knowledge Organization and Representation for Knowledge Fusion in Cloud Manufacturing -- Abstract -- 1…Introduction -- 1.1 Cloud Manufacturing -- 1.2 Knowledge Fusion and Service -- 2…Analysis of Knowledge Resources and Requirements for Knowledge Organization and Representation of Group Corporation in Cloud Manufacturing -- 2.1 Features of Group Corporation Knowledge Management and Knowledge Resource Classification -- 2.2 Requirement Analysis of Knowledge Organization and Representation in Group Corporation -- 3…Knowledge Organization and Representation Model for Knowledge Fusion -- 3.1 Knowledge Unit -- 3.2 Fusion Knowledge -- 4…Framework of Knowledge Fusion and Service in Cloud Manufacturing -- 5…Conclusions -- References -- 8 Research of Dynamics and Deploying Control Method on Tethered Satellite -- Abstract -- 1…Introduction -- 2…A System Dynamics Model -- 3…Analyze the Values of System Parameters -- 4…Simulation and Analysis -- 5…Conclusions -- References -- 9 Using Auto-Associative Neural Networks for Signal Recognition Technology on Sky Screen -- Abstract -- 1…Introduction. , 2…Hopfield Associative Neural Network -- 2.1 Discrete Hopfield Network Theory -- 3…Application of Hopfield Network for Typical Projectile Signal -- 3.1 Extraction of Pattern Feature -- 3.2 Associative Memory Algorithm for Discrete Hopfield Neural Networks -- 3.3 Simulation and Application for Typical Signal of Sky Screens -- 4…Results -- References -- 10 Research on the Hotspot Information Push System for the Online Journal Based on Open-Source Framework -- Abstract -- 1…Introduction -- 2…Key Technologies -- 2.1 HttpClient -- 2.2 HTMLParser -- 2.3 IKAnalyzer -- 3…The Realization of the System Framework -- 4…Examples -- 5…Summary -- Acknowledgments -- References -- 11 Development of Control System of Wheel Type Backhoe Loader -- Abstract -- 1…Introduction -- 2…The Features of CAN Bus Control System -- 3…Design of the Architecture of CAN Bus Control System -- 3.1 Typical Architecture of CAN Bus Control System -- 3.2 The Architecture of the CAN Bus Control System of Wheel Type Backhoe Loader -- 4…Principle and Functions of the CAN Bus Control System of Wheel Type Backhoe Loader -- 4.1 The Control of Loading Operation -- 4.2 The Control of Excavating Operation -- 4.3 System Indication and Failure Alarm Control -- 5…The Features of the Control System of Wheel Type Backhoe Loader -- 6…Conclusions -- References -- 12 Some Results on Fuzzy Weak Boolean Filters of Non-commutative Residuated Lattice -- Abstract -- 1…Introduction -- 2…Review of Preliminaries -- 3…Fuzzy Weak Boolean Filters of Non-commutative Residuated Lattice -- Acknowledgments -- References -- 13 CGPS: A Collaborative Game in Parking-Lot Search -- Abstract -- 1…Introduction -- 2…The Parking-Lot Searching Scenario -- 3…Algorithm Analysis -- 3.1 Opponent Selection -- 3.2 Game Analysis -- 4…Simulation Analysis -- 5…Conclusions -- References. , 14 A Fuzzy-Based Context-Aware Privacy Preserving Scheme for Mobile Computing Services -- Abstract -- 1…Introduction -- 2…Privacy Challenge of Mobile Computing -- 3…System Overview -- 3.1 Architecture -- 3.2 Context Modeling -- 3.3 Fuzzy-Reasoning Process -- 4…Evaluation -- 5…Conclusions -- Acknowledgments -- References -- 15 Research and Application of Trust Management System -- Abstract -- 1…Introduction -- 2…Trust Management Architecture -- 3…Trust Evaluation Method -- 4…Simulation and Application -- 4.1 A Simulation -- 4.2 Performance Discussion -- 5…Conclusions and Future Work -- Acknowledgments -- References -- 16 Ranaad-Xek: A Prototype Design of Traditional Thai Musical Instrument Application for Android Tablet PC -- Abstract -- 1…Introduction -- 2…Ranaad-Xek -- 2.1 Ranaad-Xek's Composition -- 2.2 Ranaad-Xek Percussions -- 3…Application Specification and Architecture -- 3.1 Framework -- 3.2 Application Specification -- 3.3 Application Architecture -- 3.4 The Playing Mode -- 3.5 Recording System -- 3.6 GUI Design -- 4…Conclusions -- Acknowledgments -- References -- 17 Identifying Accurate Refactoring Opportunities Using Metrics -- Abstract -- 1…Introduction -- 2…Relate Work -- 2.1 Cloned Code -- 2.2 The Difficulties of Identifying Refactoring Opportunities -- 3…An Approach to Identifying Refactoring Opportunities with Metrics -- 3.1 Benefits -- 3.2 Costs -- 3.3 Evaluation of the Benefit and Cost -- 4…Future Work -- Acknowledgments -- References -- 18 Research on Neural Network Predictive Control of Induction Motor Servo System for Robot -- Abstract -- 1…Introduction -- 2…Servo System Modeling -- 3…The Predictive Control Servo System Based on BP Neural Network -- 3.1 Control Structures -- 3.2 Neural Network Predictive Model -- 3.3 Feedback Correction -- 3.4 Scroll Optimization -- 3.5 Neural Network Predictive Control Algorithm Steps. , 4…MATLAB Simulation and Analysis -- Acknowledgments -- References -- 19 Research on Scale-Out Workloads and Optimal Design of Multicore Processors -- Abstract -- 1…Introduction -- 2…Scale-out Workloads -- 3…Experiment and Analysis -- 3.1 Throughput -- 3.2 Latency -- 4…Optimal Design of Multicore Processors for Scale-out Workloads -- 5…Related Work -- 6…Conclusions -- Acknowledgments -- References -- 20 Study of Modified Montgomery's Algorithm and Its Application to 1,024-bit RSA -- Abstract -- 1…Introduction -- 2…RSA Cryptosystem -- 2.1 Montgomery Algorithm and Modified Montgomery Algorithm -- 2.2 Four-to-two CSA -- 2.3 Modified R-L Binary Algorithm -- 3…Algorithm Implementation -- 3.1 Four-to-two Architecture -- 3.2 Modified R-L Binary Architecture -- 4…Conclusions -- References -- 21 A MVS-Based Object Relational Model of the Internet of Things -- Abstract -- 1…Introduction -- 2…MVS-Based Object Relational Model of the Internet of Things -- 2.1 Construction of Basic Data Model -- 2.2 Calculation of Properties' Characteristics of the Internet of Things -- 3…Experimental Verification and Conclusion -- References -- 22 Rateless Code-Based Unequal Loss Protection for Layer-Coded Media Delivery -- Abstract -- 1…Introduction -- 2…ULP-Strider Coding System -- 2.1 Decoding Algorithm -- 2.2 Encoding Process -- 2.3 Analyzing the Construction of Redundancy -- 3…Simulation -- 3.1 Random Sequence Versus Fine-Designed Sequence -- 3.2 Extra Information from Soft Hint -- 3.3 Strider Versus ULP-Strider -- 4…Conclusions -- Acknowledgments -- References -- 23 Construction of the Grade-3 System for GJB5000A-2008 -- Abstract -- 1…Current Software Engineering Process Overview -- 2…Analysis of the Correlation and the Necessity of Fusion Between GJB5000A-2008 and Software Engineering Process -- 3…Built Process System Based on the Software Engineering. , 4…Process Instance Analysis.